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Publish scientific results in peer-reviewed journals in a timely manner Participate in project planning and execution Maintain detailed and accurate records Acquire and analyze data in keeping with project
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior
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/patientcare/traumaccac1.html (link is external) How to Submit Application Materials: To apply, please submit the required application materials to Leslie Johnson ([email protected] (link sends e-mail) ) and
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: Experience applying machine learning methods for predictive analysis. Expereince with the Python programming language. Experience with the creation, validation, and use of synthetic data for constructing
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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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-body ab-initio methods for description of electronic, magnetic, and vibrational properties in a range of materials Expertise with artificial intelligence and machine learning approaches will be also
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researchers. We seek to create an environment that serves all who enter our doors, from the physicians who teach our learners to our employees, patients, and students. Posting Close Date 10/1/2026 Note to
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that combines mechanistic ecophysiology with AI, such as: Physics-informed machine learning and neutral networks to investigate plant physiological / abiotic relationships Bayesian statistics and neural and
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Previous Job Job Title NRRI-Post-Doc – Materials Electrochemistry Next Job Apply for Job Job ID 373733 Location Duluth Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code